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本文论述了海冰外缘线在我国海冰监测和预报中的重要作用,分析了常规的海冰外缘线提取方法存在的不足。同时,结合MODIS遥感影像和渤海悬浮泥沙分布的特点,讨论了凝聚层次聚类的MODIS影像分割算法[1]。该算法以影像光谱特性和形状特性作为判定规则,通过加入影像网格化、碎斑和噪声去除等分析,在优化冰水识别参数及分割结果提取海冰外缘线的基础上,将该算法提取的结果进行了分析。实验表明,该算法能够较好地去除碎斑和噪声。同时对MODIS遥感影像的分割,得到理想的结果。
This article discusses the important role of the sea ice rimline in the monitoring and forecasting of sea ice in China, and analyzes the shortcomings of conventional sea ice rim line extraction methods. At the same time, combined with the characteristics of MODIS remote sensing images and the distribution of suspended sediment in the Bohai Sea, MODIS image segmentation algorithm of cohesive hierarchical clustering is discussed [1]. Based on the analysis of image spectral features and shape features, this algorithm uses the analysis of image gridding, crush and noise removal, and optimizes the ice water identification parameters and the segmentation result to extract the sea ice outer edge. Based on this algorithm, The extracted results were analyzed. Experiments show that the algorithm can remove the spots and noise well. In the meantime, the segmentation of MODIS remote sensing imagery is satisfactory.